IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans最新文献_第8页

Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems 一类非线性时变系统基于广义回归神经网络和滑模控制的稳定自适应控制器

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2915950

Ahmad Jobran Al-Mahasneh, S. Anavatti, M. Garratt, Mahardhika Pratama

{"title":"Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems","authors":"Ahmad Jobran Al-Mahasneh, S. Anavatti, M. Garratt, Mahardhika Pratama","doi":"10.1109/TSMC.2019.2915950","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2915950","url":null,"abstract":"Finding synergy between a variety of control and estimation approaches can lead to effective solutions for controlling nonlinear dynamic systems in an efficient and systematic manner. In this paper, a novel controller design consisting of generalized regression neural networks (GRNNs) and sliding mode control (SMC) is proposed to control nonlinear multi-input and multi-output (MIMO) dynamic systems. The proposed design transforms GRNN from an offline regression model to an online adaptive controller. The suggested controller does not require any pretraining and it learns quickly from scratch. It uses a low computational complexity algorithm to provide accurate and stable performance. The proposed controller (GRNNSMC) performance is verified with a generic MIMO nonlinear dynamic system and a hexacopter model with a variable center of gravity. The results are compared with the standard PID controller. In addition, the stability of the GRNNSMC controller is verified using the Lyapunov stability method.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"1 1","pages":"2525-2535"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90790761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Asynchronous Stabilization of Boolean Control Networks With Stochastic Switched Signals 随机开关信号布尔控制网络的异步镇定

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2913088

Mei Fang, Liqing Wang, Zhengguang Wu

{"title":"Asynchronous Stabilization of Boolean Control Networks With Stochastic Switched Signals","authors":"Mei Fang, Liqing Wang, Zhengguang Wu","doi":"10.1109/TSMC.2019.2913088","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2913088","url":null,"abstract":"This paper includes some results of switched Boolean control networks. The switched signals considered in this paper is time variant and it follows a certain probabilistic distribution vector. Given a concept of stabilization with stochastic switched signals, we obtained a necessary and sufficient condition for stabilization. Then a state feedback control depending on switched signals is designed to stabilize the system considered. Later we investigate a case when the switched signal <inline-formula> <tex-math notation=\"LaTeX\">$theta (t)$ </tex-math></inline-formula> is unknown at time <inline-formula> <tex-math notation=\"LaTeX\">$t$ </tex-math></inline-formula>, and what we have is the prediction switched signal <inline-formula> <tex-math notation=\"LaTeX\">$hat {theta }(t)$ </tex-math></inline-formula>. For a given prediction matrix, a necessary and sufficient condition is given to preserve the stabilization. Except state feedback control, asynchronous pinning control for switched Boolean networks (BNs) is also considered. A necessary and sufficient condition is extended for the stability of BNs with stochastic switched signals. Moreover, algorithms are presented to find the minimal number of pinned nodes based on controlling minimal number of subsystems. Examples are shown to illustrate the effectiveness of the obtained results.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"21 1","pages":"2425-2432"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84268387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 43

Necessary and Sufficient Conditions for Consensus in Fractional-Order Multiagent Systems via Sampled Data Over Directed Graph 有向图上抽样数据的分数阶多智能体系统一致性的充分必要条件

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2915653

Housheng Su, Yanyan Ye, Xia Chen, Haibo He

引用次数: 46

Consensus of Multiagent Systems With Relative State Saturations 具有相对状态饱和的多智能体系统的一致性

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2912980

Hongjun Chu, D. Yue, Lixin Gao, Xiangjing Lai

{"title":"Consensus of Multiagent Systems With Relative State Saturations","authors":"Hongjun Chu, D. Yue, Lixin Gao, Xiangjing Lai","doi":"10.1109/TSMC.2019.2912980","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2912980","url":null,"abstract":"Within the multiagent systems framework, the relative states between neighbors can be acquired by some on-board sensors, and then the relative state saturations inevitably occur due to the limited sensing capabilities. This paper investigates the consensus problem of nonlinear multiagent systems subject to the relative state saturations. Utilizing the incidence matrix and the edge Laplacian, the consensus problem of nonlinear multiagent systems with the relative state saturations can be cast into the stabilization problem of edge dynamics operating on the constrained set. Three types of protocols, namely continuous, intermittent, and adaptive state feedback protocols are, respectively, proposed for achieving the constrained consensus, and meanwhile yielding consensus values. A consensus analysis is provided by virtue of state saturation theory, switched system theory, adaptive theory, and Lyapunov stability theory. Output feedback protocol is also designed. Finally, the obtained results are applied to connectivity preservation for first-order nonlinear multiagent systems, despite the presence of limited communication range and input constraints. The theoretical results are validated by two simulation examples.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"46 1","pages":"2391-2402"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73612708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Logarithmic Hyperbolic Cosine Adaptive Filter and Its Performance Analysis 对数双曲余弦自适应滤波器及其性能分析

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2915663

Shiyuan Wang, Wenyue Wang, Kui Xiong, H. Iu, C. Tse

{"title":"Logarithmic Hyperbolic Cosine Adaptive Filter and Its Performance Analysis","authors":"Shiyuan Wang, Wenyue Wang, Kui Xiong, H. Iu, C. Tse","doi":"10.1109/TSMC.2019.2915663","DOIUrl":"https://doi.org/10.1109/TSMC.2019.2915663","url":null,"abstract":"The hyperbolic cosine function with high-order errors can be utilized to improve the accuracy of adaptive filters. However, when initial weight errors are large, the hyperbolic cosine-based adaptive filter (HCAF) may be unstable. In this paper, a novel normalization based on the logarithmic hyperbolic cosine function is proposed to achieve the stabilization for the case of large initial weight errors, which generates a logarithmic HCAF (LHCAF). Actually, the cost function of LHCAF is the logarithmic hyperbolic cosine function that is robust to large errors and smooth to small errors. The transient and steady-state analyses of LHCAF in terms of the mean-square deviation (MSD) are performed for a stationary white input with an even probability density function in a stationary zero-mean white noise. The convergence and stability of LHCAF can be therefore guaranteed as long as the filtering parameters satisfy certain conditions. The theoretical results based on the MSD are supported by the simulations. In addition, a variable scaling factor and step-size LHCAF (VSS-LHCAF) is proposed to improve the filtering accuracy of LHCAF further. The proposed LHCAF and VSS-LHCAF are superior to HCAF and other robust adaptive filters in terms of filtering accuracy and stability.","PeriodicalId":55007,"journal":{"name":"IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans","volume":"56 1","pages":"2512-2524"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84145036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 59

Foot Placement Compensator Design for Humanoid Walking Based on Discrete Control Lyapunov Function 基于离散控制Lyapunov函数的仿人步行足部位置补偿器设计

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2912417

Chengju Liu, Tong Zhang, Changzhu Zhang, Ming Liu, Qijun Chen

引用次数: 3

Fault-Tolerant Control of Multilayer Interconnected Nonlinear Systems: An Inclusion Principle Approach 多层互连非线性系统的容错控制:包含原理方法

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2912995

Yuhang Xu, Hao Yang, B. Jiang

引用次数: 6

A New Fixed-Time Consensus Tracking Approach for Second-Order Multiagent Systems Under Directed Communication Topology 有向通信拓扑下二阶多智能体系统的一种新的固定时间一致性跟踪方法

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2915562

Junkang Ni, Yang Tang, P. Shi

引用次数: 40

Sliding Mode Control for a Class of Nonlinear Singular Systems With Partly Immeasurable Premise Variables 一类部分不可测前提变量非线性奇异系统的滑模控制

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2913410

Xingjian Sun, Qingling Zhang

引用次数: 9

Control Design for Uncertain Switched Nonlinear Systems: Adaptive Neural Approach 不确定切换非线性系统的控制设计:自适应神经方法

IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans Pub Date : 2021-04-01 DOI: 10.1109/TSMC.2019.2912406

Zhiliang Liu, P. Shi, Bing Chen, Chong Lin

引用次数: 12